Retrieval-Augmented Generation (RAG): The Missing Link in Generative AI
As someone who’s spent years designing AI infrastructure and large-scale distributed systems, I’ve seen firsthand the challenges businesses face when adopting generative AI at scale. One recurring issue? Generative models are only as good as the static data they’re trained on—a limitation that becomes glaringly obvious in dynamic, real-world applications. This is where Retrieval-Augmented Generation […]